广东省风能资源分布的数值模拟  

Numercical Simulation of the Distribution of Wind Energy Resources in Guangdong Province

作　　者：王婷[1] 李翠华 胡娅敏[1] 潘蔚娟[1] 黄浩辉[1] 

机构地区：[1]广东省气候中心,广州510080 [2]清远市气象局,广东清远511518

出　　处：《热带地理》2013年第1期1-8,共8页Tropical Geography

基　　金：华南区域气象中心科技攻关项目(GRMC2012M05)

摘　　要：以风能资源数值模拟评估系统(WERAS)为基础,对其中的MM5模式模拟方案进行改进(即利用格点分析张弛逼近的方法完成3h间隔的地面观测资料的四维同化处理,以减小原WERAS系统的模拟误差),对广东省2009-06-01―2010-05-31的逐时风能资源进行高时空分辨率的数值模拟评估。模拟结果表明:广东省风能资源较丰富的地方主要分布在沿海地区和粤北、粤西海拔较高的山区,70m高度上年平均风速达到6.0m/s以上,年平均风功率密度达到300W/m2以上;冬半年的风能资源优于夏半年;风能主要由出现频率相对较低的大风速过程产生。模拟结果所揭示的广东省风能资源时空分布特征与本地的气候特征和地形地表特征相符合,70m高度风速模拟误差在10%左右,风功率密度模拟误差在30%左右。Numerical simulation with high spatial resolution for the wind energy resources distributions in Guangdong province is conducted with Wind Energy Resource Assessment System （WERAS） . The results show that： the areas rich in wind energy resources are distributed in coastal region and high mountains of northern and western Guangdong, where the annual mean wind speed at 70 m height is above 6.0m/s and the annual mean wind power density is above 300 W/m2： the wind energy resources in winter are richer than those in summer; wind energy is mainly produced from large wind process which happens in low frequency. The characteristics of temporal and spatial distribution of wind energy resources in Guangdong revealed by numerical simulation are consistent with local climate characteristics and topographic features, the simulation error of wind speed at 70m height is about 10%, and the simulation error of wind power density at 70 m height is about 30%.

关 键 词：MM5 Calmet 风能资源 数值模拟 风速 风功率密度 广东 

分 类 号：P425.63[天文地球—大气科学及气象学] TK89[动力工程及工程热物理—流体机械及工程]